https://github.com/rajjitlai/virtualpaint
An OpenCV Project on Virtual Paint using C++
https://github.com/rajjitlai/virtualpaint
computer-vision cpp opencv opencv-cpp virtual-paint
Last synced: 19 days ago
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An OpenCV Project on Virtual Paint using C++
- Host: GitHub
- URL: https://github.com/rajjitlai/virtualpaint
- Owner: rajjitlai
- Created: 2022-10-18T12:47:11.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-01-30T17:26:34.000Z (over 3 years ago)
- Last Synced: 2025-01-12T21:32:05.029Z (over 1 year ago)
- Topics: computer-vision, cpp, opencv, opencv-cpp, virtual-paint
- Language: C++
- Homepage:
- Size: 23.5 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# VirtualPaint 🎨
A high-performance C++ application that leverages OpenCV for real-time color detection and virtual drawing. Track physical objects in the air and turn your webcam into a digital canvas!
## 🌟 Overview
**VirtualPaint** is a computer vision project developed using C++ and the OpenCV library. It uses HSV (Hue, Saturation, Value) color space tracking to identify specific objects in a video feed and translate their movement into digital brushstrokes on the screen.
### Key Features
- **Real-Time Tracking**: Ultra-low latency tracking using optimized C++ backend.
- **Multi-Color Support**: Pre-configured to detect Purple, Green, and Orange markers.
- **Dynamic Canvas**: Draws continuous trails that follow the tip of your tracked object.
- **Customizable**: Easy-to-tweak HSV ranges for adding support for any custom color.
## 🛠️ Technical Details
- **Language**: C++
- **Framework**: OpenCV 4.x
- **Core Logic**:
- `findColor()`: Converts BGR frames to HSV and applies masks for target colors.
- `getContours()`: Identifies the largest object and locates its topmost point for precision drawing.
- `drawOnCanvas()`: Maintains a persistent vector of points to render the "paint" across frames.
## 🚀 Getting Started
### Prerequisites
- Visual Studio 2019 or newer.
- OpenCV 4.x installed and configured in your system environment.
### Setup
1. Clone the repository.
2. Open `VirtualPaint.sln` in Visual Studio.
3. Ensure your project properties are correctly pointing to your OpenCV `include` and `lib` directories.
4. Build and run in **x64 Release** mode for best performance.
## ⚖️ License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
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**Maintained by**: Rajjit Laishram
**Created**: October 2022
**Updated**: April 2026